| 基于SCS模型的登封市景观格局对地表径流的影响研究 |
| Effect of Landscape Pattern on Surface Runoff in Dengfeng City |
| 投稿时间：2022-04-27 修订日期：2022-07-09 |
| DOI：10.15928/j.1674-3075.202204270145 |
| 中文关键词:地表径流 SCS模型 景观格局 地理加权回归分析 登封市 |
| 英文关键词:runoff SCS model landscape pattern geographically weighted regression analysis Dengfeng City |
| 基金项目:国家自然科学基金青年项目( 51808198)；河南省城乡绿地资源与景观生态设计学科创新引智基地项目（GXJD006）。 |
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| 中文摘要: |
| 探究登封市2003―2021年景观格局演变及其与枯、平、丰水月地表径流的关联性差异，分析景观格局指数影响力的空间异质性，为减缓地表径流、优化景观格局提供理论支持。基于Landsat系列遥感影像，提取登封市用地类型及景观格局指数，利用SCS水文模型、Pearson相关性分析及GWR等方法研究景观格局演变对径流量的影响。结果如下：（1）登封市林地对地表径流的消减率随着雨量增加而降低，丰水月比平水月降低了33.37%。（2）登封市在不同雨量下产生的地表径流具有显著的时空差异性，其中2015―2021年快速的城市建设活动导致丰水月有26.29 km2的地区出现超出50 mm的径流增加量。（3）景观指数与径流量的相关性随雨量递增而逐渐显著，SPLIT、IJI和LSI在丰水月与径流的正相关性比在平水月的平均降低10.8%、12.3%、8.3%，其中林地结合度对径流的阻滞效应在平水月最强。（4）CONTAG、IJI、LSI对径流的正、负向影响力在时间和空间双重维度上存在显著差异且整体呈正向驱动，其主导驱动力随时间变化由IJI向CONTAG转变。景观格局与径流量的耦合关联性在平水月最为显著且影响径流变化的主导驱动力在时空尺度上具有差异性，因此不同区域的防洪规划在优化整体景观格局的基础上应充分考虑优势斑块连通性对减缓径流的差异影响。 |
| 英文摘要: |
| In this study, we explored the evolution of landscape patterns in Dengfeng City from 2003 to 2021 and its correlation with surface runoff in dry, normal, and wet seasons, and analyzed the spatial heterogeneity of landscape pattern index. We aimed to provide a reference for decreasing surface runoff and optimizing the landscape pattern. Based on the Landsat series of remote sensing images, the land use type and landscape pattern indices of Dengfeng City were extracted, and four land use types were delineated in the study area: farm, forest, construction and surface water. The low water, normal water and high water months were January, April and July, with average monthly precipitation of 16.70, 52.40, 159.10 mm, respectively. The USDA Soil Conservation Service (SCS) hydrological model, Pearson correlation analysis and geographically weighted regression (GWR) methods were used to study the impact of landscape pattern evolution on runoff. Results are as follows: (1) In Dengfeng City, the ratio of forest land reduction to rise in surface runoff was smaller with increased rainfall, and the reduction rate in July was 33.4% lower than in April. (2) Surface runoff in Dengfeng City varied significantly with location. The increase in runoff resulting from rapid urban construction from 2015 to 2021 exceeded 50 mm in July. (3) The correlation between landscape index and runoff gradually increased and reached significance as rainfall increased. The positive correlations between the splitting index (SPLIT), interspersion?juxtaposition?index (IJI), landscape?shape?index (LSI) and runoff in July were 10.8%, 12.3% and 8.3% lower than the average in April. The blocking effect of forests on runoff was strongest in April. (4) The positive and negative influences of contagion index (CONTAG), IJI, and LSI on runoff were significantly different in both temporal and spatial dimensions, and the overall driving force was positive. The dominant driving force changed from IJI to CONTAG with time. The coupling correlation between landscape pattern and runoff was highest in April, and the dominant driving force affecting runoff change was different on the temporal and spatial scales. Therefore, flood control planning in different regions should be based on optimizing the overall landscape pattern and fully consider the differential effects of dominant patch connectivity on runoff mitigation. |
| 朱莹莹,张宇帆,徐怡宁,田国行.2024.基于SCS模型的登封市景观格局对地表径流的影响研究[J].水生态学杂志,45(4):63-72. |
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